Comparative comparison of SWMM and SMADA models to estimate flood hydrograph (case study: Zendan catchment area - Hormozgan province)
Subject Areas : Irrigation, drainage and water supply systemsMohammad Ebrahim Afifi 1 , Farshid Hashmipour Petkoi 2 , Vahid Sohrabi 3
1 - Department of Geography, Faculty of Humanities, Islamic Azad University, Larestan Branch, Fars, Iran.
2 - Department of Geography, Faculty of Humanities, Islamic Azad University, Larestan Branch, Fars, Iran.
3 - Department of Geography, Faculty of Humanities, Islamic Azad University, Larestan Branch, Fars, Iran.
Keywords: SWMM, SMADA, Flood hydrograph, Zendan Basin,
Abstract :
Forecasting peak discharge and simulating flood hydrographs in streams and rivers is a complex process in hydrology. This study utilizes the SWMM and SMADA precipitation-runoff models, incorporating meteorological data (such as precipitation curves and evaporation rates) along with the physical characteristics of the catchment area and drainage basins to simulate the outflow hydrograph of the Zendan catchment area in Hormozgan Province. The aim of this study is to compare the perforcemece of the SWMM and SMADA models in flood hydrograph simulation to determine the more suitable model for flood management. The research applications include flood mitigation strategies, risk reduction, and infrastructure planning. The watershed was divided into 11 single-branch sub-basins, with each sub-basin characterized by its physical properties, drainage characteristics of the sub-basin, and precipitation parameters. Each sub-basin was simulated as a nonlinear reservoir, and individual hydrographs were calculated based on the given characteristics. These hydrographs were then routed to the watershed outlet using the kinematic wave method to determine the final discharge. The SWMM model demonstrated a higher accuracy in flood hydrograph simulation, mainly due to its capability for calibration with various algorithms. While the SMADA model also produced flood hydrographs, it exhibited a larger discrepancy between simulated and observed floods. This is largely attributed to its reliance on older equations with higher error rates. The results indicate that, for this specific catchment, the SWMM model is more efficient than the SMADA model.
Ababaei, B., & Sohrabi-Mollayousef, T. (2009). Performance evaluation of SWAT model in Zayandeh Rood watershed. Soil and Water Conservation Research (Agricultural Sciences and Natural Resources), 16(3), 41-58. (In Persian)
Adams, B., & Papa, F. (2021). Urban stormwater management planning with analytical probabilistic models. 358 p. Wiley.
Ahmadi, L. (2019). Investigation of erosion and sedimentation in the dry river of Shiraz by non-permanent method, Master's Thesis, Faculty of Agriculture, Shiraz University. (In Persian)
Bahremand, A. (2019). Fundamentals of hydrological models. Master's Degree Coursebook, Watershed Management Department, Gorgan University of Agricultural Sciences and Natural Resources, 58 p. (In Persian)
Bridge, J.S. (2008). Rivers and Floodplains. Translated by Rezaei Moghadam, M., & Thaqafi, M. Vol 1: Dynamics and Processes, Ministry of Culture and Islamic Guidance Publications.
Darabi, M. (2014). Evaluation of the effects of watershed management projects on flood control and economic and social issues in the Khorami watershed, a tributary of the Sivand Dam in Fars Province. Proceedings of the Sixth National Conference on Watershed Science and Engineering and the Fourth National Conference on Erosion and Sedimentation, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, 8 p.
Dovonce, E. (2019). A physically based distributed hydrologic model. Master of Science Thesis, The Pennsylvania State University.
Eftekharian, M., & Khalilizadeh, M. (2013). Forecasting areas prone to flooding and proposing appropriate solutions for urban flood control (Case study: Jahrom city). Master's Thesis. Islamic Azad University - Larestan Branch. (In Persian)
Feyzi, M., Bagheri, M., & Azmati, H. (2007). Human-environmental approach in landscape architecture design, Technology of Education Journal, 1)2(, 89-96.(In Persian). https://doi.org/10.22061/tej.2007.1248
Gautam, M.R. (2019). Advances in data-based approaches for hydrologic modeling and forecasting. World Scientific.
Hajjarian, A. (2023). Comparative study of modeling flood-sensitive areas (Isfahan Province), Environmental Risk Management, 10(3), 199-214. (In Persian). http//doi.org/10.22059/jhsci.2023.362467.786
Hormozgan Regional Water Company. (2014). Control and Stability Report of Shamil and Nian Dams. (In Persian)
Hormozgan Regional Water Company. (2019). Control and Sustainability Report of Shamil and Nian Dams. (In Persian).
Hormozgan Regional Water Company. (2021). Hydrological studies of Ahmadi study area. Farsab Sanat Consulting Engineers Company. (In Persian)
Hosseinzadeh, M., Imamgholizadeh, S., Ganji, Z., & Samadi, H. (2016). Comparison of flood trends by MIKE model and 11 HEC-RAS models in Bazfat river, 15th National Hydraulic Conference of Iran. (In Persian)
Imam Gholizadeh, S., Bina, M., & Ghomshi, M. (2007). Investigation of the effect of reservoir water height and outlet flow rate from the lower discharger on the rate of sediment discharge in pressure washing. Agricultural Scientific Journal, 30(4-A), 61-76. (In Persian)
Kolte, A. (2019). Evaluation of the performance of the LISEM physical model in the representative and paired Kechik watersheds of Golestan province. Master's Thesis in watershed management, Gorgan University of Agricultural Sciences and Natural Resources, 104 p. (In Persian)
Lange, A.L, George, S., & Aley, T. (2014). Karst hydrogeology and human activities, impacts, consequences, and implications. McGraw Hill Professional - 751 p.
Lar Consulting Engineers Company. (2019). Report on Golestan Province Floods. (In Persian)
Mahdavi, M. (2019). Comprehensive watershed management. Fourth National Conference on Watershed Engineering and Watershed Management, Faculty of Natural Resources, University of Tehran, 1 p. (In Persian)
Mazandaranizadeh, H., & Khodabakhshi, F. (2024). Performance evaluation of CANFIS, MLPNN, MLR and M5 models in simulating meteorological drought index (Case study: Kermanshah synoptic station). Irrigation Science and Engineering, 47(1), 83-98. (In Persian). http//doi.org/10.22055/jise.2023.42231.2046
Mohammadi Motlagh, R., & Jalal Kamali, A. (2012). Investigating the role of sub-basin participation in flood severity, a case study of Dalaki watershed. Iranian Irrigation and Water Engineering, 4(13), 31-44.
Motlabi, A., & Khalilizadeh, M. (2016). Investigating land use changes and modeling floods in Jahrom city using GIS and SMADA model. Thesis, Islamic Azad University, Larestan Branch. (In Persian)
Mozaffari, J., & Kabarfard, M. (2016). Investigating the quantitative and qualitative management of urban floods with the EPA-SWMM Model, a Case study of Tehran Region 22. Iranian Irrigation and Water Engineering, 7(27), 47-59. (In Persian)
Nash, J. E., & Sutcliffe, J.V. (1970). River flow forecasting through conceptual models part I — A discussion of principles. Journal of Hydrology, 10(3), 282–290. https://doi.org/10.1016/0022-1694(70)90255-6
Ouyang, Y., Nkedi-Kizza, P., Wu, Q.T., Shinde, D., & Huang, C.H. (2012). Assessment of seasonal variations in surface water quality, Water Research, 40(20), 3800-3810.
Payab, M. (2025). Resilience of cities and risk of natural hazards. Monthly Journal of Expert Reports of the Research Center of the Islamic Consultative Assembly, 32(5). (In Persian)
Rahimzadeh, F., Hedayati Dezfuli, A., & Pourasgharian, A. (2011). Assessment of trends and extreme temperature and precipitation fluctuations in hormozgan province. Geography and Development, 9(21), 97-116. (In Persian)
Rajabizadeh, Y., Ayubzadeh, S.A., & Zahiri, A. (2018). Investigation of Golestan province flood in 2017-2018 and presentation of methods for its control and management in the future. Ecohydrology, 6(4), 921-942. (In Persian)
Razzaghi, A., Asgari Marnani, J., & Rouhanimanesh, M. S. (2021). Numerical evaluation of modified energy method in the analysis of structural problems with nonlinear geometry. Structural and Construction Engineering, 8(5), 83-109. (In Persian)
Shabanloo, S., & Karim Bakhsh, M. (2013). Simulation of flood events at the basin scale with the SWMM model, case study of Golestan province. Fourth Iranian Water Resources Management Conference in 2013 Hormozgan Regional Water Company. Report on the Control and Stability of Shamil and Nian Dams. (In Persian)
Sohrabi, V., Hashemipour-Petkoy, F., & Sheikhpour-Shahi, H. (2023). Sensitivity analysis of Manning's roughness coefficient of rivers in the HEC-RAS model for determining flood zones (Case study: Kor River - Fars Province). Quarterly Journal of Geographic Information System and Remote Sensing Application in Planning, 14(2).
Sohrabi, V., & Afifi, M. A. (2023). Temporal and spatial modeling of groundwater level using Kriging models and artificial neural networks (Case study: Minab Plain). Journal of Technical Strategies in Water Systems, 1(4), 1-22. https://doi.org/https://doi.org/10.30486/TSWS.2024/1106197
Taheri Behbahani, M., & Bozorgzadeh, M. (1996). Urban floods. Publications of the Center for Urban Planning and Architecture Studies and Research, Iran, 536 pp. (In Persian)
Tajbakhsh, M., & Khodashenas, S. R. (2012). Review of surface runoff drainage network using simulation and application of delay ponds (Case study: East Iqbal Catchment Basin, Mashhad). Soil and Water Science Journal, 22, 109–123. (In Persian)
Telluri, A. R. )1996(. Hydrological models in simple language. Tehran University Press, 401 pp. (In Persian)
Westervelt, J. )2020(. Simulation modeling for watershed management. Springer Science & Business Media.
Zamani, N., &Khalilizadeh, M. (2014). Evaluation of the surface water collection network of Bastak city using the SWMM model and its integration with GIS. Master's Thesis, Islamic Azad University, Larestan Branch. (In Persian)
Zehtabian, G., Ali Portomaj, A., & Afakhah, M. (2001). Study of the application of artificial unit hydrographs in flood analysis in watersheds of the north of the country. Natural Resources of Iran, 54(4), 331-344. (In Persian)
